Hims & Hers

Staff Machine Learning Systems Engineer (MLOps)

Hims & HersYesterday
Location

US Remote

Workplace

Remote

Type

Full Time

Salary

USD 210,000 – 250,000

Level

Staff

Role

Staff Machine Learning Systems Engineer

Posted

Jun 12, 2026

Full TimeRemoteStaff

The role

Summary

A Staff Machine Learning Systems Engineer role at Hims & Hers that focuses on designing and operating critical AI infrastructure for a leading digital health platform. The role requires deep expertise in Kubernetes, MLOps, cloud-native technologies, and infrastructure-as-code to build reliable, secure, and scalable AI systems that directly impact patient healthcare outcomes.

What you'll do

AI Infrastructure Platform: Own and scale containerized application deployment platform for AI workloads, including Kubernetes cluster operations and workload management
Deployment Pipelines: Build and maintain GitOps-based deployment pipelines with environment promotion and safe release strategies
Inference Infrastructure: Operate multi-provider LLM AI gateway and develop reliable serving patterns for AI workflows
Observability and Reliability: Implement comprehensive tracing, monitoring, and incident response systems for AI infrastructure
Developer Platform: Improve CI/CD pipelines, build systems, and shared infrastructure tooling to enhance developer velocity

What we look for

Technical

Kubernetes Expertise8+ years infrastructure/platform experience with 3+ years in ML/AI systems
Cloud Native SkillsDeep understanding of EKS, GitOps, autoscaling, and infrastructure orchestration

Education

Computer ScienceBachelor's or equivalent technical degree preferred

Experience

MLOps2+ years operating LLM-based systems in production
Infrastructure EngineeringProven track record in designing secure, scalable cloud architectures

Skills

Required skills

KubernetesDeep hands-on experience with EKS and cloud-native ecosystem
Infrastructure as CodeStrong Terraform skills and secure cloud architecture design
PythonProficiency in building production infrastructure tooling and pipelines
MLOpsExperience operating LLM-based systems in production
ObservabilityExpertise with tracing and monitoring tools like Datadog, OpenTelemetry

Nice to have

AWSExperience with EKS, Bedrock, and multi-cloud infrastructure
DatabricksKnowledge of MLflow, Unity Catalog, and data platform governance
CI/CDAdvanced experience with build systems and developer workflow automation

Compensation & benefits

Salary

USD 210,000 – 250,000 (annual)

Stock options

Available

Benefits

Competitive Compensation

Salary and equity package for full-time roles

Time Off

Unlimited PTO, company holidays, quarterly mental health days

Health Benefits

Comprehensive medical, dental, vision, and parental leave

Financial Planning

401k with employer matching and Employee Stock Purchase Program

Team Building

Offsite team retreats

Interview process

  1. 1
    Initial Screening — HR phone screen to assess basic qualifications and cultural fit
  2. 2
    Technical Phone Interview — Deep dive into infrastructure, MLOps, and system design experience
  3. 3
    On-Site/Virtual Interviews — Multiple rounds covering technical skills, system architecture, and team collaboration
  4. 4
    Design Review — Presentation of a technical design document showcasing infrastructure expertise
  5. 5
    Final Leadership Interview — Discussion of long-term technical vision and potential impact
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Hims & Hers

Hims & Hers

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Hims & Hers is a digital health company that provides affordable and convenient healthcare services to patients through a direct-to-consumer online platform. The company offers prescription medications, treatments, and consultations with licensed healthcare providers for a wide range of common conditions including erectile dysfunction, hair loss, and skincare concerns. Hims & Hers operates in the telehealth and e-commerce pharmacy market, making healthcare more accessible by eliminating traditional barriers like lengthy doctor visits and expensive in-person consultations. The company is on a mission to make healthcare more affordable, accessible, and transparent for everyday people.

San Francisco, USAFounded 2017hims.com

Tech Stack

Languages
Python
Frameworks
KubernetesHelmKustomize
Databases
ClickHouse
Tools
TerraformDatadogOpenTelemetryLangfuse
Other
AWS EKSGitOps
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